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🇺🇦 #NowPlaying on KEXP's #VarietyMix
Mercyful Fate:
🎵 Evil
#MercyfulFate
https://mercyfulfate.bandcamp.com/album/evil
https://open.spotify.com/track/5pH1BecbNktYDbYw0XCEWn

heise | Wie Sie gratis KI-Stimmen klonen – für mehrsprachige Podcasts und Hörbücher
Mit dem KI-Tool Chatterbox werden synthetische Stimmen lebendig. Wir zeigen, wie Sie gratis und lokal mehrsprachige Podcasts oder Hörbücher generieren.

Non-Markovian amplitude damping in a central spin model with random couplings
Mehboob Rashid, Rayees A Mala, Saima Bashir, Muzaffar Qadir Lone
https://arxiv.org/abs/2509.12670 h…

Non-Markovian amplitude damping in a central spin model with random couplings
Non-Markovian dynamics is central to quantum information processing, as memory effects strongly influence coherence preservation, metrology, and communication. In this work, we investigate the role of stochastic system--bath couplings in shaping non-Markovian behavior of open quantum systems, using the central spin model within a time-convolutionless master equation framework. We show that the character of the reduced dynamics depends jointly on the intrinsic memory of the environment and on th…

Least squares estimation of the transition density in bifurcating Markov models
S. Val\`ere Bitseki Penda
https://arxiv.org/abs/2509.12906 https://arxiv.or…

Least squares estimation of the transition density in bifurcating Markov models
In this article, we propose a least squares method for the estimation of the transition density in bifurcating Markov models. Unlike the kernel estimation, this method do not use the quotient which can be a source of errors. In order to study the rate of convergence for least squares estimators, we develop exponential inequalities for empirical process of bifurcating Markov chain under bracketing assumption. Unlike the classical processes, we observe that for bifurcating Markov chains, the comp…

LA-based MarqVision, which uses AI to monitor marketplaces for counterfeits, raised a $48M Series B led by Peak XV Partners, bringing its total funding to ~$90M (Kate Park/TechCrunch)
https://techcrunch.com/2025/09/15/harvard-law-to-ai-marqvisi…

Harvard Law to AI: MarqVision lands $48M to combat brand abuse | TechCrunch
This LA-based startup raised $48M to tackle brand abuse

Multi-Component VAE with Gaussian Markov Random Field
Fouad Oubari, Mohamed El-Baha, Raphael Meunier, Rodrigue D\'ecatoire, Mathilde Mougeot
https://arxiv.org/abs/2507.12165

Multi-Component VAE with Gaussian Markov Random Field
Multi-component datasets with intricate dependencies, like industrial assemblies or multi-modal imaging, challenge current generative modeling techniques. Existing Multi-component Variational AutoEncoders typically rely on simplified aggregation strategies, neglecting critical nuances and consequently compromising structural coherence across generated components. To explicitly address this gap, we introduce the Gaussian Markov Random Field Multi-Component Variational AutoEncoder , a novel gener…

Bellman Optimality of Average-Reward Robust Markov Decision Processes with a Constant Gain
Shengbo Wang, Nian Si
https://arxiv.org/abs/2509.14203 https://a…

Bellman Optimality of Average-Reward Robust Markov Decision Processes with a Constant Gain
Learning and optimal control under robust Markov decision processes (MDPs) have received increasing attention, yet most existing theory, algorithms, and applications focus on finite-horizon or discounted models. The average-reward formulation, while natural in many operations research and management contexts, remains underexplored. This is primarily because the dynamic programming foundations are technically challenging and only partially understood, with several fundamental questions remaining…

Markov dualities via the spectral decompositions of the two Markov generators in their bi-orthogonal basis of right and left eigenvectors
Cecile Monthus
https://arxiv.org/abs/2507.11041

Markov dualities via the spectral decompositions of the two Markov generators in their bi-orthogonal basis of right and left eigenvectors
The notion of Markov duality between two Markov processes that can live in two different configurations spaces $(x,{\tilde x})$ is revisited via the spectral decompositions of the two Markov generators in their bi-orthogonal basis of right and left eigenvectors. In this formulation, the two generators should have the same eigenvalues $(-E)$ that may be complex, while the duality function $Ω(x,{\tilde x})$ can be considered as a mapping between the right and the left eigenvectors of the two mod…

Ancilla-train quantum algorithm for simulating non-Markovian open quantum systems
Hans Michael Christensen, Johannes Agerskov, Frederik Nathan
https://arxiv.org/abs/2509.12717 h…

Ancilla-train quantum algorithm for simulating non-Markovian open quantum systems
We present a quantum algorithm for simulating open quantum systems coupled to Gaussian environments valid for any configuration and coupling strength. The algorithm is for instance applicable to problems with strongly coupled, or non-Markovian, environments; problems with multiple environments out of mutual equilibrium; and problems with time-dependent Hamiltonians. We show that the algorithm can reproduce the true dynamics of such problems at arbitrary accuracy and, for a broad range of proble…

The US FTC sues Key Investment Group, operator of sites like TotalTickets.com, for skirting ticket limits to buy up and resell live event tickets at a markup (Jody Godoy/Reuters)
https://www.reuters.com/sustainability/boa…